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作 者:鲁胜 王晗雯 王永锋[1] 倪维东[1] 李从飞 LU Sheng;WANG Hanwen;WANG Yongfeng;NI Weidong;LI Congfei(Guodian Nanjing Automation Co.,Ltd.,Nanjing 210032,China;Suqian Power Supply Company,State Grid Jiangsu Electric Power Co.,Ltd.,Suqian 223800,China)
机构地区:[1]国电南京自动化股份有限公司,江苏南京210032 [2]国网江苏省电力有限公司宿迁供电分公司,江苏宿迁223800
出 处:《水电与新能源》2025年第2期24-28,共5页Hydropower and New Energy
摘 要:为了提升风电机组变桨后备电源的状态诊断的准确性,提出一种基于数据动态监测的变桨系统铅酸蓄电池健康诊断方法,制定了相应的变桨控制策略。示范应用表明:所提方法能准确诊断后备电源荷电状态,有效评估后备电源支撑收桨能力,提高风电机组在供电异常情况下的安全性。In order to improve the state diagnosis accuracy of the blade pitch backup power supply in wind turbine units,a health diagnosis method is proposed for the lead-acid batteries in the blade pitch system based on data dynamic monitoring,and corresponding pitch control strategies are formulated.Demonstration application shows that the proposed method can accurately diagnose the charge state of the backup power supply,and effectively evaluate the ability of the backup power supply to support the retraction of the blades,therefore improving the safety of the wind turbine units under abnormal power supply conditions.
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